Exposing video inter-frame forgery based on velocity field consistency

Author

Yuxing Wu ; Xinghao Jiang ; Tanfeng Sun ; Wan Wang

Author_Institution

Sch. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2014

fDate

4-9 May 2014

Firstpage

2674

Lastpage

2678

Abstract

In recent years, video forensics has become an important issue. Video inter-frame forgery detection is a significant branch of forensics. In this paper, a new algorithm based on the consistency of velocity field is proposed to detect video inter-frame forgery (i.e., consecutive frame deletion and consecutive frame duplication). The generalized extreme studentized deviate (ESD) test is applied to identify the forgery types and locate the manipulated positions in forged videos. Experiments show the effectiveness of our algorithm.

Keywords

image forensics; video signal processing; video surveillance; consecutive frame deletion; consecutive frame duplication; generalized ESD test; generalized extreme studentized deviate test; velocity field consistency; video forensics; video interframe forgery detection; Accuracy; Cameras; Conferences; Electrostatic discharges; Forensics; Forgery; Surveillance; Generalized extreme studentized deviate; Inter-frame forgery detection; Velocity field; Video forensics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6854085

Filename

6854085